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EleoNora [17]
3 years ago
14

Which box can be represented by the equation y=1/3x?

Mathematics
1 answer:
Schach [20]3 years ago
3 0

Answer:

B. X = 15

Y = 5

Step-by-step explanation:

It’s the answer

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What two fractions equal -3/5
Kaylis [27]

Answer:

-6/10 and -12/10 (I think)

Step-by-step explanation:

7 0
3 years ago
Subtract 386 from 72,000
goldfiish [28.3K]

71614 is the answer, this can be found by simply solving this expression: 72000 - 386

6 0
3 years ago
Read 2 more answers
Amanda has 1/2 of a yard of fabric that she wants to use to make bias tape. Her seeing projects each require 1/8 yards of bias t
Ray Of Light [21]

Answer:

n = 4

Step-by-step explanation:

Amanda has 1/2 of a yard of fabric that she wants to use to make bias tape. Each requires 1/8 yards of bias tape. We need to find the no of pieces of bias tape she can make.

It means,

n=\dfrac{1}{2}/\dfrac{1}{8}\\\\n=\dfrac{\dfrac{1}{2}}{\dfrac{1}{8}}\\\\n=4

Hence, she can make 4 pieces of bias tape.

4 0
3 years ago
A sample of blood pressure measurements is taken for a group of adults, and those values (mm Hg) are listed below. The values ar
Kobotan [32]

Answer:

The coefficient of variation for the systolic measurements is 12.8 %

The coefficient of variation for the diastolic measurements is 16.3 %

Therefore, we can conclude that the systolic measurements are less dispersed as compared to diastolic measurements.

Step-by-step explanation:

The coefficient of variation is the ratio of standard deviation of the data to the mean of the data. It shows the dispersion in the data set.

Coefficient of variation for the systolic measurements:

Mean = μ = (120 + 128 + 156 + 98 + 154 + 122 + 118 + 136 + 128 + 120)/10

Mean = μ = 1280/10

Mean = μ = 128

Standard deviation = σ = \sqrt{\frac{1}{N}\sum_ (x-\mu)^{2} }

Using excel the standard deviation is found to be

Standard deviation = σ = 16.4

Coefficient of variation = σ/μ

Coefficient of variation = 16.4/128

Coefficient of variation = 0.128

Coefficient of variation = 12.8%

Coefficient of variation for the Diastolic measurements:

Mean = μ = (79 + 76 + 75 + 51 + 92 + 87 + 59 + 64 + 72 + 81)/10

Mean = μ = 736/10

Mean = μ = 73.6

Standard deviation = σ = \sqrt{\frac{1}{N}\sum_ (x-\mu)^{2} }

Using excel the standard deviation is found to be

Standard deviation = σ = 12

Coefficient of variation = σ/μ

Coefficient of variation = 12/73.6

Coefficient of variation = 0.163

Coefficient of variation = 16.3%

Conclusion:

We can conclude that the systolic measurements (12.8%) are less dispersed as compared to diastolic measurements (16.3%).

7 0
3 years ago
3 1/5 ÷(z− 1/2 )=2 2/3 ÷(z+ 1/3 )
love history [14]

Answer:

10

Step-by-step explanation:

if u take 5x2 u get your answer

5 0
3 years ago
Read 2 more answers
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